A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.
VIJAYAWADA: Venkata Sree Karthikeya Gattupalli, a tech entrepreneur with roots in Tadepalli, has been selected to present his ...
Machine learning models narrow down solutions in synthesis, compounding, product design, and more.
UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.
David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...
A.I. labs are hiring contrarian, chin-stroking, finger-steepling sages. Who’s underemployed now? Clockwise from top left: ...
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
MIT researchers created a technique that captures chemical arrangements across materials to improve predictions of how metal ...
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